A5077573166- Glycosylation and Glycoproteins Research
- Proteoglycans and glycosaminoglycans research
- Bone Metabolism and Diseases
- Carbohydrate Chemistry and Synthesis
- Hydrological Forecasting Using AI
- Data Management and Algorithms
- Flood Risk Assessment and Management
- Meteorological Phenomena and Simulations
- Big Data and Business Intelligence
- Galectins and Cancer Biology
- Anomaly Detection Techniques and Applications
- Phagocytosis and Immune Regulation
- Hydrology and Watershed Management Studies
- Automated Road and Building Extraction
- Cell Adhesion Molecules Research
- Cognitive Science and Mapping
- Internet Traffic Analysis and Secure E-voting
- Digital Transformation in Industry
- Educational Research and Pedagogy
- Peptidase Inhibition and Analysis
- Seismology and Earthquake Studies
- Cardiac tumors and thrombi
- Gastric Cancer Management and Outcomes
- Gastrointestinal disorders and treatments
- Child and Animal Learning Development
Changhua Christian Hospital
2017-2024
University of Bremen
2023
National Taiwan University
2011-2023
Taiwan Semiconductor Manufacturing Company (Taiwan)
2023
Taipei Medical University
2022
National Taipei University of Technology
2021
National Taiwan University of Science and Technology
2020
National Ilan University
2019
During typhoons or storms, accurate forecasts of hourly streamflow are necessary for flood warning and mitigation. However, is difficult to forecast because the complex physical process high variability in time. Furthermore, under global warming scenario, events with extreme may occur that leads more difficulties forecasting streamflows. Hence, obtain forecasts, an improved model proposed this paper. The computational kernel developed on basis support vector machine (SVM). Additionally,...
Abstract Evaporation estimation is an important issue in water resources management. In this article, a four‐season model with optimal input combination proposed to estimate the daily evaporation. First, based on support vector machine (SVM) coupled determination process used determine of variables. Second, comparison SVM‐based back‐propagation network (BPN) made demonstrate superiority model. addition, season data are construct further improve evaporation estimation. An application...
Deep learning technology has developed rapidly in recent years and been successfully applied many fields, including face recognition. Face recognition is used scenarios nowadays, security control systems, access management, health safety employee attendance monitoring, automatic border control, scan payment. However, deep models are vulnerable to adversarial attacks conducted by perturbing probe images generate examples, or using patches well-designed perturbations specific regions of the...
Accurate forecasts of the inundation depth are necessary for warning and mitigation. In this paper, a real-time regional forecasting model is proposed to yield 1- 3-h lead time maps. First, K-means based cluster analysis developed group depths indentify control points. Second, support vector machine used as computational method develop point module each point. Third, on forecasted geographic information, spatial expansion expand forecasts. An actual application Siluo Township, Taiwan,...
Abstract The glycoprotein CD44 is a key regulator of malignant behaviors in breast cancer cells. To date, hyaluronic acid (HA)-CD44 signaling pathway has been widely documented the context metastatic bone diseases. Core 1 β1,3-galactosyltransferase (C1GALT1) critical enzyme responsible for elongation O-glycosylation. Aberrant O-glycans recognized as hallmark cancers. However, effects C1GALT1 on and metastasis remain unclear. In this study, IHC analysis indicated that expression positively...
A hybrid material obtained by blending β-chitosan (CS) with triethylenetetramine-functionalized graphene oxide (TFGO) (CSGO), was used as an adsorbent for a reactive dye (C.I. Reactive Blue 221 Dye, RB221), and the adsorption removal performances of unmodified CS mix-modified CSGO were investigated compared systematically at different pH values (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12). The capacities 45.5 56.1 mg/g, respectively, 2 5.4 37.2 12. This indicates that TFGO successfully introduced...
GalNAc‐type O‐glycosylation and its initiating GalNAc transferases (GALNTs) play crucial roles in a wide range of cellular behaviors. Among 20 GALNT members, GALNT2 is consistently associated with poor survival patients colorectal cancer public databases. However, clinicopathological significance remains unclear. In this study, immunohistochemistry showed that was overexpressed tumors compared the adjacent nontumor tissues. overexpression patients. Forced expression promoted migration...
Ovarian cancer is the most lethal gynecological malignancy and characterized by peritoneal disseminated metastasis. Although O-mannosyltransferase TMTC1 highly expressed ovarian cancer, its pathophysiological role in remains unclear. Here, immunohistochemistry showed that was overexpressed tissues compared with adjacent normal tissues, high expression associated poor prognosis patients cancer. Silencing reduced cell viability, migration, invasion vitro, as well suppressed tumor growth...
Future intelligent management systems compose of heterogeneous devices with lots applications cooperatively to analyze data. Recent advances in Service-Oriented Architecture (SOA) provide opportunities for solving this challenge reusability, composability, and abstraction. In paper, we develop an platform using cloud computing SOA. It provides different service modules collect, store, analyze, visualize the Internet Things (IoT) data fit Cyber-Physical System (CPS), all these functions are...
For typhoon warning centers, effective forecasting of tropical cyclone intensity is always required. The major difficulties and challenges in are the complex physical mechanism structure cyclones. interaction between its environment also a process. In this paper, model based on support vector machines developed to yield 12, 24, 36, 48, 72 h forecasts intensity. Furthermore, resulting from proposed compared with those Joint Typhoon Warning Center. Cross-validation tests applied evaluate...
Abstract This phase 4, single‐arm, non‐randomized, open‐label, post approval commitment study evaluated the pharmacokinetics and safety of bortezomib in Taiwanese patients with multiple myeloma. Patients (≥20 years) measurable secretory myeloma (serum monoclonal IgG ≥10, IgA/IgE ≥5, IgD ≥0.5 g/L, IgM present [regardless level], urine M protein ≥200 mg/24 h) received intravenous 1.3 mg/m 2 , twice weekly for weeks, followed by a 10‐day resting (days 12 to 21). Pharmacokinetics were assessed...
Abstract Background Most gastrointestinal stromal tumors (GISTs) harbor c-KIT or PDGFRA mutations. Administration of tyrosine kinase inhibitors (TKIs) has significantly improved the survival patients with GISTs. We aimed to evaluate clinical outcome advanced recurrent GIST in Taiwan. Methods Patients diagnosed between 2010 and 2020 were enrolled. The collected data included baseline characteristics, treatment pattern, outcome, genetic aberrations status. Progression-free (PFS) overall (OS)...
<div>Abstract<p>The glycoprotein CD44 is a key regulator of malignant behaviors in breast cancer cells. To date, hyaluronic acid (HA)-CD44 signaling pathway has been widely documented the context metastatic bone diseases. Core 1 β1,3-galactosyltransferase (C1GALT1) critical enzyme responsible for elongation O-glycosylation. Aberrant O-glycans are recognized as hallmark cancers. However, effects C1GALT1 on and metastasis remain unclear. In this study, immunohistochemical analysis...
<p>C1GALT1 knockdown in breast cancer cells did not cause significant changes CD44 mRNA levels.</p>
<p>Effects of CD44 O-glycans on tumor sphere formation in breast cancer cells.</p>
<p>Construction of multiple mutations at O-glycosites in the stem region CD44.</p>
<p>Effects of CD44 O-glycans on tumor sphere formation in breast cancer cells.</p>
<p>C1GALT1 knockdown in breast cancer cells did not cause significant changes CD44 mRNA levels.</p>
<p>Construction of multiple mutations at O-glycosites in the stem region CD44.</p>